参考文献/References:
[1] 中华人民共和国交通运输部.全面推广高速公路差异化收费实施方案[EB/OL].(2021-06-15) [2022-06-07]. https://xxgk.mot.gov.cn/2020/jigou/glj/202106/t20210615_3609815.html.
Ministry of Transport of the People’s Republic of China. Implementation plan for comprehensively promoting differentiated toll charging of expressways [EB/OL]. (2021-06-15) [2022-06-07]. https://xxgk.mot.gov.cn/2020/jigou/glj/202106/t20210615_3609815.html.(in Chinese)
[2] WEN C H, CHOU P L, HONG L Y, et al. A latent class nested Logit model of intercity bus carrier choice [J]. Journal of the Eastern Asia Society for Transportation Studies, 2011, 9: 382-394.
[3] 马莹莹,陆思园,张晓明,等.考虑个体风险偏好差异的高速公路出行选择模型[J].吉林大学学报工学版,2021,51(5):1673-1683.
MA Yingying, LU Siyuan, ZHANG Xiaoming, et al. Model of highway travel selection considering individual risk preference difference [J]. Journal of Jilin University Engineering and Technology Edition, 2021, 51(5): 1673-1683.(in Chinese)
[4] ARENTZE T, FENG T, TIMMERMANS H, et al. Context-dependent influence of road attributes and pricing policies on route choice behavior of truck drivers: results of a conjoint choice experiment [J]. Transportation, 2012, 39(6): 1173-1188.
[5] POLITIS I, KYRIAKOGLOU M, GEORGIADIS G, et al. Evidence from highway drivers in Greece showing toll avoidance and utility of alternative routes [J]. Transportation Research Record, 2020, 2674(9): 948-958.
[6] 姚恩建,李挺然,王雪然,等.考虑货车路径选择行为的高速公路拥挤路段收费研究[J].北京交通大学学报,2018,42(4):63-71.
YAO Enjian, LI Tingran, WANG Xueran, et al. Study on the charge in congested freeway sections considering the influence of truck route choice behavior [J]. Journal of Beijing Jiaotong University, 2018, 42(4): 63-71.(in Chinese)
[7] 关宏志.非集计模型:交通行为分析的工具[M].北京:人民交通出版社,2004:10-22.
GUAN Hongzhi. Disaggregate model: a tool of traffic behavior analysis [M]. Beijing: China Communication Press, 2004: 10-22.(in Chinese)
[8] MA T Y, GERBER P, CARPENTIER S, et al. Mode choice with latent preference heterogeneity: a case study for employees of the EU institutions in Luxembourg [J]. Transportmetrica A: Transport Science, 2015, 11(5): 441-463.
[9] 刘志伟,刘建荣,邓卫.无人驾驶汽车对出行方式选择行为的影响[J].西南交通大学学报,2021,56(6):1161-1168.
LIU Zhiwei, LIU Jianrong, DENG Wei. Impact of autonomous vehicle on travel mode choice behavior [J]. Journal of Southwest Jiaotong University, 2021, 56(6): 1161-1168.(in Chinese)
[10] WEN C H, WANG W C, FU C. Latent class nested Logit model for analyzing high-speed rail access mode choice[J]. Transportation Research Part E: Logistics and Transportation Review, 2012, 48(2): 545-554.
[11] ZANGUI M, AASHTIANI H Z, LAWPHONGPANICH S, et al. Path-differentiated pricing in congestion mitigation[J]. Transportation Research Part B: Methodological, 2015, 80(10): 202-219.
[12] FEMATT V L, GRIMM R P, NYLUND G K, et al. Identifying transfer student subgroups by academic and social adjustment: a latent class analysis [J]. Community College Journal of Research and Practice, 2021, 45(3): 167-183.
[13] SWANSON S A, LINDENBERG K, BAUER S, et al. A Monte Carlo investigation of factors influencing latent class analysis: an application to eating disorder research[J]. International Journal of Eating Disorders, 2012, 45(5): 677-684.
相似文献/References:
[1]李健,贾元华,陈峰.高速公路转向快速路的匝道控制[J].深圳大学学报理工版,2011,28(No.5(377-470)):466.
LI Jian,JIA Yuan-hua,and CHEN Feng.Local ramp control for urban expressway and related periphery freeway[J].Journal of Shenzhen University Science and Engineering,2011,28(2):466.
[2]李健,贾元华,敖谷昌.主线机动容量合理分配的匝道协同控制[J].深圳大学学报理工版,2012,29(No.5(377-470)):466.[doi:10.3724/SP.J.1249.2012.05466]
LI Jian,JIA Yuan-hua,and AO Gu-chang.Reasonable allocation of flexible capacity for ramp coordinated metering[J].Journal of Shenzhen University Science and Engineering,2012,29(2):466.[doi:10.3724/SP.J.1249.2012.05466]
[3]陈娇娜,张生瑞,靳引利.高速公路行程时间可靠性的小波密度估计[J].深圳大学学报理工版,2016,33(4):432.[doi:10.3724/SP.J.1249.2016.04432]
Chen Jiaona,Zhang Shengrui,and Jin Yinli.Highway travel time reliability modeling based on wavelet density estimation[J].Journal of Shenzhen University Science and Engineering,2016,33(2):432.[doi:10.3724/SP.J.1249.2016.04432]
[4]柯文豪,陈华鑫,雷宇,等.基于GRNN神经网络的沥青路面裂缝预测方法[J].深圳大学学报理工版,2017,34(4):378.[doi:10.3724/SP.J.1249.2017.04378]
Ke Wenhao,Chen Huaxin,Lei Yu,et al.Prediction method for asphalt pavement crack based on GRNN neural network[J].Journal of Shenzhen University Science and Engineering,2017,34(2):378.[doi:10.3724/SP.J.1249.2017.04378]
[5]李伟,罗钦.基于逐步优化的轨道交通网络行车计划衔接[J].深圳大学学报理工版,2018,35(6):629.[doi:10.3724/SP.J.1249.2018.06629]
LI Wei and LUO Qin.Rail transit network planning based on gradual optimization[J].Journal of Shenzhen University Science and Engineering,2018,35(2):629.[doi:10.3724/SP.J.1249.2018.06629]
[6]杨少伟,赖泓志,潘兵宏,等.高速公路主线相互合流至出口最小间距的研究[J].深圳大学学报理工版,2018,35(6):643.[doi:10.3724/SP.J.1249.2018.06643]
YANG Shaowei,LAI Hongzhi,PAN Binghong,et al.Minimum spacing between the mainline of highway mutual confluence and the mainline exit[J].Journal of Shenzhen University Science and Engineering,2018,35(2):643.[doi:10.3724/SP.J.1249.2018.06643]
[7]于泉,刘洋,郭骁伟.基于路口相关性的交通流量修复研究[J].深圳大学学报理工版,2019,36(3):304.[doi:10.3724/SP.J.1249.2019.03304]
YU Quan,LIU Yang,and GUO Xiaowei.Restoration of traffic flow data based on intersection correlation[J].Journal of Shenzhen University Science and Engineering,2019,36(2):304.[doi:10.3724/SP.J.1249.2019.03304]
[8]贺云鹏,李建国.平面移动式立体车库客流状态聚类研究[J].深圳大学学报理工版,2020,37(3):314.[doi:10.3724/SP.J.1249.2020.03314]
HE Yunpeng and LI Jianguo.Passenger flow state clustering in flat mobile automated garage[J].Journal of Shenzhen University Science and Engineering,2020,37(2):314.[doi:10.3724/SP.J.1249.2020.03314]
[9]周菁楠,李伟,罗钦.城轨车站大客流条件下列车运行调整[J].深圳大学学报理工版,2020,37(6):617.[doi:10.3724/SP.J.1249.2020.06617]
ZHOU Jingnan,LI Wei,and LUO Qin.Adjustment for train operation under the condition of mass passenger flow in urban rail transit[J].Journal of Shenzhen University Science and Engineering,2020,37(2):617.[doi:10.3724/SP.J.1249.2020.06617]
[10]李军,郑培庆.城市公交过剩通勤分析与评价——以广州市为例[J].深圳大学学报理工版,2020,37(6):623.[doi:10.3724/SP.J.1249.2020.06623]
LI Jun and ZHENG Peiqing.Analyzing and evaluating of the urban transit excess commuting: a case study of Guangzhou City[J].Journal of Shenzhen University Science and Engineering,2020,37(2):623.[doi:10.3724/SP.J.1249.2020.06623]